12 Network analysis
12.2 R Markdown Cookbook
Yihui Xie, Christophe Dervieux, Emily Riederer
This book showcases short, practical examples of lesser-known tips and tricks to helps users get the most out of these tools. After reading this book, you will understand how R Markdown documents are transformed from plain text and how you may customize nearly every step of this processing. For example, you will learn how to dynamically create content from R code, reference code in other documents or chunks, control the formatting with customer templates, fine-tune how your code is processed, and incorporate multiple languages into your analysis.
12.3 Getting used to R, RStudio, and R Markdown
Chester Ismay
This resource is designed to provide new users to R, RStudio, and R Markdown with the introductory steps needed to begin their own reproducible research. A review of many of the common R errors encountered (and what they mean in layman’s terms) will also provided be provided.
12.4 Introduction to R Markdown
Michael Clark
The goal is for you to be able to get quickly started with your own document, and understand the possibilities available to you. You will get a feel for the basic mechanics at play, as well as have ideas on how to customize the result to your own tastes.
12.5 RMarkdown for Scientists
Nicholas Tierney
This is a book on rmarkdown, aimed for scientists. It was initially developed as a 3 hour workshop, but is now developed into a resource that will grow and change over time as a living book.
12.6 Pimp my RMD: a few tips for R Markdown
Yan Holtz
R markdown creates interactive reports from R code. This post provides a few tips I use on a daily basis to improve the appearance of output documents.
12.7 knitr
Dynamic documents with R and knitr!
The knitr package was designed to be a transparent engine for dynamic report generation with R, solve some long-standing problems in Sweave, and combine features in other add-on packages into one package.
The book is free online.